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Applied Scientist, Worldwide Returns & Recommerce - Science

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Amazon

13d ago

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Data
    Software Engineering
  • Hyderabad, +1
    Remote

AI generated summary

  • You need 2+ years in business model building, a PhD/Master's with 4+ years in CS/ML, programming skills, and experience in algorithms, deep learning, NLP, or computer vision.
  • You will design and evaluate NLP and LLM models, analyze data using SQL, train models with Python and PyTorch, mentor interns, and collaborate with engineering teams for scalable solutions.

Requirements

  • 2+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience with popular deep learning frameworks such as MxNet and Tensor Flow
  • Experience building machine learning models or developing algorithms for business application
  • Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Responsibilities

  • Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.
  • Use SQL to query and analyze the data.
  • Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models.
  • Use machine learning and analytical techniques to create scalable solutions for business problems.
  • Research and implement novel machine learning and statistical approaches.
  • Mentor interns.
  • Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.

FAQs

What qualifications are required for this position?

The position requires a PhD or a Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field, along with 2+ years of experience building models for business applications.

What programming languages should candidates be proficient in?

Candidates should have experience programming in languages such as Java, C++, Python, or other related languages.

What specific experience is required in machine learning frameworks?

Candidates should have experience with popular deep learning frameworks such as MxNet and TensorFlow.

What types of problems will the Applied Scientist work on?

The Applied Scientist will work on designing and developing innovative models for Natural Language Processing (NLP), Large Language Models (LLM), and Large Computer Vision Models, among others.

Is there an expectation to mentor others in this role?

Yes, mentoring interns is part of the responsibilities expected from the Applied Scientist in this position.

How does the team utilize machine learning in their processes?

The team utilizes machine learning to improve the customer experience, identify return root causes, optimize re-use, and evaluate returned packages using state-of-the-art modeling techniques.

What is the work environment like in the Worldwide Returns & ReCommerce team?

The work environment is described as fun and empowering, with a strong leadership group dedicated to operational excellence and a focus on achieving a reasonable work-life balance.

What type of data will the Applied Scientist be working with?

The Applied Scientist will work with multiple modalities of data, including textual, categorical, image, and speech data.

Are publications or patents encouraged for candidates in this role?

Yes, experience in patents or publications at top-tier peer-reviewed conferences or journals is valued and encouraged for candidates.

Is there a specific focus on sustainability in this role?

Yes, the role emphasizes building sustainable re-use channels and driving aspects of the Circular Economy at Amazon, with a focus on benefiting both customers and the environment.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.